Due to the continuous growth and spread of the internet using Web Mining to improve the quality of different services has become a necessity. Web Mining is nothing else than applying data mining techniques and algorithms on web data. In this work we present two algorithms used in Web Structure...

The World Wide Web became one of the most valuable resources for information retrievals and knowledge discoveries due to the permanent increasing of the amount of data available online. Taking into consideration the web dimension, the users get easily lost in the web’s rich hyper structure....

With incessantly growing amount of information published over Web pages, the World Wide Web (WWW) has become prolific in the field of data mining research. The heterogeneous and semi-structured nature of Web data has made the process of automated discovery a challenging issue. Web Content Mining...

The World Wide Web, or simply the web, is the most dynamic environment.The web has grown steadly in recent years and his content is changing every day. Today, they are several billions of HTML documents, pictures and another multimedia files available on the Internet. There is a need of methods...

Web mining is the use of data mining techniques to automatically discover and extract information from World Wide Web documents and services. This article considers the question: is effective Web mining possible? Skeptics believe that the Web is too unstructured for Web mining to succeed....

Web servers worldwide generate a vast amount of information on web users’ browsing activities. Several researchers have studied these so-called clickstream or web access log data to better understand and characterize web users. The goal of this application is to analyze user behaviour by...

The problem of predicting the next request during a user's navigation session has been extensively studied. In this context, higher-order Markov models have been widely used to model navigation sessions and to predict the next navigation step, while prediction accuracy has been mainly evaluated...

Introduction: The strategies that people use to browse Websites are difficult to analyse and understand: quantitative data can lack information about what a user actually intends to do, while qualitative data tends to be localised and is impractical to gather for large samples. Method: This...

Nowadays, using data mining techniques to extract knowledge from web log files has became a necessity. The behavior of Internet users can be found in the log files stored on Internet servers. Analyzing data obtained from web server logs is rapidly becoming one of the most important activities...

The aim of this paper is to characterize the distribution of number of hits and spent time by web session. It also expects to find if there are significant differences between the length and the duration of a session with regard to the point of access–search engine, link or root. Web usage...